Hi Guys, I am training a rasa nlu model in Chinese. The training time is very long. I think it is due to the parsing sentence. The size of training data is 600 with 10 intents and 11 labels, and it take more than 15 hours to finish. Is there any way to improve this process. We need to update the model regularly. Thanks!

Can you give more details about how you train your Chinese NLU model? Shell command or scripts content would be very helpful. Usually, it don’t take much time. But if you are building a MITIE model that will take a very long time. So, if you can provide more details about how to train the model, we can locate the problem more quickly.